Derek Tam
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Speech Recognition and Synthesis
Papers in
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- Appendicitis Diagnosis and Management 2
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- Topic Modeling 3
- Domain Adaptation and Few-Shot Learning 2
- Speech Recognition and Synthesis 1
- Natural Language Processing Techniques 1
- Co-authors
- Mohit Bansal (3 shared papers)Colin Raffel (3 shared papers)Jiaao Chen (1 shared paper)Diyi Yang (1 shared paper)Rakesh R. Menon (1 shared paper)Shiyue Zhang (1 shared paper)Dian Yu (1 shared paper)Steven Franconeri (1 shared paper)
- Journals
- The American Journal of Emergency Medicine (1 paper)Transactions of the Association for Computational Linguistics (1 paper)Cognition (1 paper)Interspeech (USB) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Derek Tam
10 papers receiving 246 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 179
- Health Informatics 3
- Emergency Medicine 7
- Computer Vision and Pattern Recognition 19
- Information Systems 15
Countries citing papers authored by Derek Tam
This map shows the geographic impact of Derek Tam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Derek Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek Tam more than expected).
Fields of papers citing papers by Derek Tam
This network shows the impact of papers produced by Derek Tam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Derek Tam. The network helps show where Derek Tam may publish in the future.
Co-authors
The 18 scholars most cited alongside Derek Tam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 92 | |
| 2 | 2021 | 78 | |
| 3 | 2023 | 39 | |
| 4 | 2018 | 14 | |
| 5 | 2019 | 12 | |
| 6 | 2022 | 8 | |
| 7 | 2017 | 6 | |
| 8 | Calculated decisions: Jones criteria for acute rheumatic fever diagnosis | 2020 | 2 |
| 9 | Calculated decisions: Pediatric appendicitis risk calculator (pARC) | 2019 | 1 |
| 10 | Calculated decisions: Pediatric NIHSS Stroke Scale (PedNIHSS). | 2023 | 1 |
About Derek Tam
Derek Tam is a scholar working on Emergency Medicine, Artificial Intelligence, Management Science and Operations Research, Cognitive Neuroscience and Epidemiology, having authored 10 papers that have together received 253 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Appendicitis Diagnosis and Management (2 papers), Streptococcal Infections and Treatments (1 paper), Speech Recognition and Synthesis (1 paper), Data Quality and Management (1 paper), Acute Ischemic Stroke Management (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (179 citations), Health Informatics (3 citations), Emergency Medicine (7 citations), Computer Vision and Pattern Recognition (19 citations) and Information Systems (15 citations). Derek Tam has collaborated with scholars based in United States. Frequent co-authors include Mohit Bansal, Colin Raffel, Jiaao Chen, Diyi Yang, Rakesh R. Menon, Shiyue Zhang, Dian Yu, Steven Franconeri, Nicholas Monath and Rajarshi Das. Their work appears in journals such as The American Journal of Emergency Medicine, Transactions of the Association for Computational Linguistics, Cognition, Interspeech (USB) and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.